The following information is available for the pension plan of Radcliffe Company for the year 2020.

$$\begin{array} {lrrrrr} \text{Actual and expected return on plan assets}& \hspace{10pt}\text{\$\hspace{10pt}15,000}&\\ \text{Benefits paid to retirees}& \hspace{10pt}\text{40,000}&\\ \text{Contributions (funding)}& \text{90,000}&\\ \text{Interest/discount rate}& \hspace{10pt}\text{10\\\%}&\\ \text{Prior service cost amortization}& \hspace{10pt}\text{8,000}&\\ \text{Projected benefit obligation, January 1, 2020}& \text{500,000}&\\ \text{Service cost}& \text{60,000}&\\ \end{array}$$

Instructions

a. Compute pension expense for the year 2020.

b. Prepare the journal entry to record pension expense and the employer's contribution to the pension plan in 2020.

What do you understand by the terms maximum likelihood estimation, deviance statistic and Wald statistic?

Identify the roles of the SEC and the FASB in the setting of accounting standards.

Solve Laplace’s equation (1) for a rectangular plate subject to the given boundary conditions.

$$\begin{array}{l}{\left.\frac{\partial u}{\partial x}\right|_{x=0}=u(0, y), u(\pi, y)=1} \\ {u(x, 0)=0, u(x, \pi)=0}\end{array}$$

Prove that submodules, quotient modules, and finite direct sums of Noetherian R-modules are again Noetherian R-modules.

A company collects data on the lengths of telephone calls created by employees in two different divisions. The sample mean and the sample standard deviation for the sales division are $10.26$ and 8.56, respectively. The sample mean and sample standard deviation for the shipping and receiving division are $6.93$ and $4.93$, respectively. A hypothesis test was run, and the computer output follows. Degrees of freedom $=56$ Confidence interval limits $=-0.18979,6.84979$ Test statistic $t=1.89566$ Critical value $t=-2.0037,2.0037$ $P$-value $=0.06317$ Significance level $=0.05$

5. What are your conclusions?

Why is closing entry required at the end of an accounting period?

Let $X_1,X_2, . . .,X_n$ be a random sample of size n from a geometric distribution that has pmf $f ( x ; \theta ) = ( 1 - \theta ) ^ { x } \theta , x = 0,1,2 , \ldots , 0 < \theta < 1,$ zero elsewhere. Show that $\sum _ { 1 } ^ { n } X _ { i }$ is a sufficient statistic for $\theta.$

Which of the following defines a convergent sequence of partial sums?

(c ) Assume that the sequence of partial sums converges to a number, $L.$ I can find a value of $N$ such that all the terms in the sequence, past the $N^{th}$ term, are less than $L.$

Solve the proportion. If necessary, round to the nearest hundredth.

$$\frac{2}{y}=\frac{10}{60}$$

Find the percent. 40% of 120 = ______

The magnetic field intensity in a certain conducting medium is $\mathbf{H}=x y^{2} \mathbf{a}_{x}+x^{2} z \mathbf{a}_{y}-y^{2} z \mathbf{a}_{z} \mathrm{A} / \mathrm{m}$ (a) Calculate the current density at point P(2, -1, 3 ). (b) What is $\frac{\partial \rho_{v}}{\partial t}$ at P?

Why is managerial accounting relevant to business majors and their future careers?

Why is a hierarchy of generally accepted accounting principles needed?